154 search results - page 9 / 31 » Feature Extraction for Outlier Detection in High-Dimensional... |
157
Voted
PAMI
2000
15 years 5 months ago
2000
This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
176
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SSDBM
2006
IEEE
15 years 11 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
154
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PAMI
1998
15 years 5 months ago
1998
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
190
Voted
ICDM
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
169
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NIPS
1997
15 years 7 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...